Side-by-side comparison of AI visibility scores, market position, and capabilities
Virtual eating disorder treatment using family-based therapy, San Diego CA, raised $58M+. First at-home model for anorexia and bulimia treatment in the US.
Equip Health is a San Diego, California-based virtual care company founded in 2019 that specializes in treating eating disorders including anorexia, bulimia, binge eating disorder, and avoidant restrictive food intake disorder (ARFID). The company has raised over $58 million and has pioneered a virtual delivery model for family-based treatment (FBT), the gold-standard evidence-based therapy for adolescent eating disorders, making intensive evidence-based care accessible outside of residential treatment programs.\n\nEquip's care model assembles a five-person care team for each patient: a therapist, a dietitian, a physician, a family mentor, and a peer mentor — all coordinating through the platform. This team-based virtual approach mirrors the multidisciplinary structure of leading eating disorder treatment centers while eliminating the geographic and financial barriers that prevent most patients from accessing residential care. Sessions are conducted by video with the patient and their family, with meal support and between-session coaching embedded in the program.\n\nThe company distributes its services through insurance coverage, accepting major commercial plans and working to expand Medicaid coverage. Eating disorders carry the highest mortality rate of any psychiatric illness, yet treatment access is severely limited in the United States. Equip's virtual model has treated patients across all 50 states, demonstrating the feasibility of delivering intensive eating disorder care at home and positioning the company as a national provider in a historically fragmented specialty.
London and New York AI platform automating insurance prior authorization; reads patient clinical records to extract evidence justifying medical necessity and cut treatment delays.
Anterior is a London and New York-based healthtech company that applies AI to automate the prior authorization process, one of the most burdensome administrative tasks in U.S. healthcare. Prior authorization requires physicians to submit clinical evidence to insurance companies justifying the medical necessity of treatments, procedures, or medications — a process that consumes significant physician and staff time and causes treatment delays that harm patient outcomes. Anterior's AI reads patient clinical records, identifies the relevant clinical criteria required by the insurer, extracts supporting evidence from the patient's history, and generates complete prior auth submissions automatically. The platform also predicts approval likelihood and flags cases likely to require clinical review, helping health system staff prioritize their work. Founded in 2022, Anterior raised funding from investors including Sequoia Capital and has rapidly signed health system customers facing acute prior authorization burdens. The company's approach addresses a systemically inefficient process that costs the U.S. healthcare system an estimated $35B annually in administrative waste.
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